Procedural Modeling of Broad-Leaved Trees under Weather Conditions in 3D Virtual Reality

Favorskaya, Margarita N.; Зотин, А. Г.; Chunina, Anastasia

doi:10.1007/978-3-642-22158-3_6

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…Subsequently, the scale map allowed the formation of three-dimensional trees on the area where the tree species actually grew, with their exact positioning. Previous studies developed technologies for the three-dimensional modeling of plants based on the information obtained by remote methods [20][21][22][23]. After constructing the weight map, we proceeded to place objects by superimposing tree coordinate point features from map A1 (Figure 3) over point features from modeled region B1 (Figure 4).…”

Section: Methodsmentioning

confidence: 99%

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Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data

et al. 2021

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This article discusses the process of creating a digital forest model based on remote sensing data, three-dimensional modeling, and forest inventory data. Remote sensing data of the Earth provide a fundamental tool for integrating subsequent objects into a digital forest model, enabling the creation of an accurate digital model of a selected forest quarter by using forest inventory data in educational and experimental forestry, and providing a valuable and extensive database of forest characteristics. The formalization and compilation of technologies for connecting forest inventory databases and remote sensing data with the construction of three-dimensional tree models for a dynamic display of changes in forests provide an additional source of data for obtaining new knowledge. The quality of forest resource management can be improved by obtaining the most accurate details of the current state of forests. Using machine learning and regression analysis methods as part of a digital model, it is possible to visually assess the course of planting growth, changes in species composition, and other morphological characteristics of forests. The goal of digital, interactive forest modeling is to create virtual simulations of the future status of forests using a combination of predictive forest inventory models and machine learning technology. The research findings provide a basic idea and technique for developing local digital forest models based on remote sensing and data integration technologies.

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Section: Methodsmentioning

confidence: 99%

“…2021, 13, x FOR PEER REVIEW 5 of 15 mation of three-dimensional trees on the area where the tree species actually grew, with their exact positioning. Previous studies developed technologies for the three-dimensional modeling of plants based on the information obtained by remote methods[20][21][22][23].…”

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confidence: 99%

Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data

et al. 2021

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“…First, a global point cloud ought to be classified into Regions Of Interest (ROI) -the individual trees using visual data and utilizing the well-known methods of texture and fractal analysis [12]. Let a point cloud of a single detected ROI be represented by a set…”

Section: Fusion Of Lidar and Visual Datamentioning

confidence: 99%

Fusion of Airborne LiDAR and Digital Photography Data for Tree Crowns Segmentation and Measurement

Favorskaya

Tkacheva

Данилин

et al. 2015

Intelligent Interactive Multimedia Systems and Services

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During airborne laser scanning, different types of information are available including Light Detection And Ranging (LiDAR) data as a cloud of 3D points, aerial digital photography data (hyperspectral or color visual images), and additional information about parameters of shooting. Difficulties of large image stitching due to parallax effects lead to distortions between ground truth 3D LiDAR coordinates and 2D visual coordinates of the same point. Our contribution is to develop a method for fusion of LiDAR and visual information for accurate segmentation of individual tree crowns in order to receive biomass measurements. The shearlet theory was used to improve boundaries and texture of airborne images. Also in this paper, a higher-order active contour model is applied for area evaluation of tree crowns in a plane. The received area measurements are promising and coincide with expert estimations providing accuracy 92-96 %. The modeling results are good for non-Lambert space of forest.

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“…First, procedural modeling has been the preferred method of reconstructing realworld forests in VR. This method takes a set of rules and parameters to generate content (Favorskaya et al, 2011); however, to what extent the virtual replica mirrors its physical counterpart depends on the collection of ground truth data from the field, which is a time-consuming and costly undertaking. Second, and inherently related to the first identified gap, the use of environmental sensing data has largely been ignored in VR forest applications.…”

Section: Introductionmentioning

confidence: 99%

Advancing Forest Monitoring and Assessment Through Immersive Virtual Reality

Zürcher¹,

Zhao²,

Sarmiento³

et al. 2023

AGILE GIScience Ser.

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Abstract. The recent influx of remote and proximal sensing data provides new opportunities to understand environmental processes. A potential application of these datasets is to facilitate forestry operations. However, forest management decision-making through sensing techniques faces many challenges, partly due to the involvement of stakeholders with different knowledge levels and objectives. We present a virtual reality application developed for forest monitoring and assessment to address some of these challenges. First, a workflow for visualizing different sources of environmental sensing data is introduced to reconstruct digitally forest and terrain characteristics. Then, the VR experience is introduced in which users can observe, manipulate, and measure LiDAR-derived forest and tree models in immersive virtual environments. Finally, a heuristic expert evaluation to assess the overall user experience and the usability of individual application features is reported. We also gathered open-ended responses from domain experts to reflect on the potential and actual uses of the application in forest-related practices.

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Procedural Modeling of Broad-Leaved Trees under Weather Conditions in 3D Virtual Reality

Cited by 6 publications

References 8 publications

Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data

Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data

Fusion of Airborne LiDAR and Digital Photography Data for Tree Crowns Segmentation and Measurement

Advancing Forest Monitoring and Assessment Through Immersive Virtual Reality

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